MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11401
Single Precision Score
13624
Half Precision Score
11301
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | vallieres |
| Upload Date | September 18 2024 03:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 3.88 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5933
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6503
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
4879
910.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7018
113.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9708
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9978
161.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
43755
51.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
46733
54.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
42902
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
5799
460.0 IPS |
|
|
Object Detection (HP)
|
100% |
6254
496.1 IPS |
|
|
Object Detection (Q)
|
91% |
5072
405.3 IPS |
|
|
Face Detection (SP)
|
100% |
15723
186.8 IPS |
|
|
Face Detection (HP)
|
100% |
20332
241.6 IPS |
|
|
Face Detection (Q)
|
100% |
14579
173.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26091
201.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
28959
223.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
23619
184.6 IPS |
|
|
Style Transfer (SP)
|
100% |
88694
114.0 IPS |
|
|
Style Transfer (HP)
|
100% |
102066
131.2 IPS |
|
|
Style Transfer (Q)
|
96% |
93549
120.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15065
556.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16329
603.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11713
432.5 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5085
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2221
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2346
40.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1672
28.9 IPS |
